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diff --git a/README.md b/README.md
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+---
+license: mit
+task_categories:
+- translation
+- token-classification
+language:
+- ur
+- en
+- zh
+- ar
+- hy
+- ak
+tags:
+- nmt
+- parallel-corpus
+- multilingual
+- urdu
+- large-scale
+- bitext
+- synthetic-data
+pretty_name: Vast Urdu Parallel Corpus
+---
+
+# Vast Urdu Parallel Corpus
+
+## Dataset Description
+**Vast-Urdu** is a large-scale collection of parallel text corpora specifically filtered to support Urdu (UR) language research. This dataset was extracted from the `liboaccn/nmt-parallel-corpus` to provide a dedicated resource for Neural Machine Translation (NMT), cross-lingual understanding, and token-classification tasks involving Urdu.
+
+### Source Data
+The data is sourced from a massive web-scale crawl, containing sentence-aligned pairs between Urdu and several other languages including:
+* **English (en)**
+* **Chinese (zh)**
+* **Arabic (ar)**
+* **Armenian (hy)**
+* **Akan (ak)**
+
+## Dataset Structure
+The files are provided in `.parquet` format for efficient storage and fast loading. Each file represents a language pair (e.g., `en-ur.parquet`), containing:
+- **Source text**: The text in the primary language.
+- **Target text**: The corresponding translation in Urdu (or vice-versa).
+
+## Usage
+You can load this dataset directly using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ReySajju742/Vast-Urdu", data_files="en-ur.parquet")
+print(dataset['train'][0])
\ No newline at end of file
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